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0.1.94

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guanjihuan 2024-04-02 14:17:01 +08:00
parent e6474fc831
commit 8b84ab9a47
3 changed files with 7 additions and 7 deletions
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2
PyPI/setup.cfg
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@ -1,7 +1,7 @@
[metadata] [metadata]
# replace with your username: # replace with your username:
name = guan name = guan
version = 0.1.93 version = 0.1.94
author = guanjihuan author = guanjihuan
author_email = guanjihuan@163.com author_email = guanjihuan@163.com
description = An open source python package description = An open source python package

2
PyPI/src/guan.egg-info/PKG-INFO
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@ -1,6 +1,6 @@
Metadata-Version: 2.1 Metadata-Version: 2.1
Name: guan Name: guan
Version: 0.1.93 Version: 0.1.94
Summary: An open source python package Summary: An open source python package
Home-page: https://py.guanjihuan.com Home-page: https://py.guanjihuan.com
Author: guanjihuan Author: guanjihuan

10
PyPI/src/guan/data_processing.py
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@ -1,15 +1,15 @@
# Module: data_processing # Module: data_processing
# 并行计算前的预处理，把参数分成多份 # 并行计算前的预处理，把参数分成多份
def preprocess_for_parallel_calculations(parameter_array_all, cpus=1, task_index=0): def preprocess_for_parallel_calculations(parameter_array_all, task_num=1, task_index=0):
import numpy as np import numpy as np
num_all = np.array(parameter_array_all).shape[0] num_all = np.array(parameter_array_all).shape[0]
if num_all%cpus == 0: if num_all%task_num == 0:
num_parameter = int(num_all/cpus) num_parameter = int(num_all/task_num)
parameter_array = parameter_array_all[task_index*num_parameter:(task_index+1)*num_parameter] parameter_array = parameter_array_all[task_index*num_parameter:(task_index+1)*num_parameter]
else: else:
num_parameter = int(num_all/(cpus-1)) num_parameter = int(num_all/(task_num-1))
if task_index != cpus-1: if task_index != task_num-1:
parameter_array = parameter_array_all[task_index*num_parameter:(task_index+1)*num_parameter] parameter_array = parameter_array_all[task_index*num_parameter:(task_index+1)*num_parameter]
else: else:
parameter_array = parameter_array_all[task_index*num_parameter:num_all] parameter_array = parameter_array_all[task_index*num_parameter:num_all]